Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.